R0044/2026-03-29/Q002/SRC05
ICRC: "The risks and inefficacies of AI systems in military targeting support" (2024)
Source
| Field |
Value |
| Title |
The risks and inefficacies of AI systems in military targeting support |
| Publisher |
International Committee of the Red Cross (ICRC) Law and Policy Blog |
| Author(s) |
ICRC |
| Date |
September 4, 2024 |
| URL |
https://blogs.icrc.org/law-and-policy/2024/09/04/the-risks-and-inefficacies-of-ai-systems-in-military-targeting-support/ |
| Type |
Expert analysis (international humanitarian law perspective) |
Summary
| Dimension |
Rating |
| Reliability |
High |
| Relevance |
Medium-High |
| Bias: Missing data |
Low risk |
| Bias: Measurement |
N/A |
| Bias: Selective reporting |
Some concerns |
| Bias: Randomization |
N/A — not an RCT |
| Bias: Protocol deviation |
N/A — not an RCT |
| Bias: COI/Funding |
Low risk |
Rationale
| Dimension |
Rationale |
| Reliability |
ICRC is the authoritative voice on international humanitarian law. The analysis draws on documented military AI deployments. |
| Relevance |
Directly addresses automation bias in military targeting, including risks of operators accepting AI recommendations without verification. |
| Bias flags |
ICRC has an institutional orientation toward human oversight and caution regarding autonomous systems. This is acknowledged but does not compromise the factual analysis. |
| Evidence ID |
Summary |
| SRC05-E01 |
Military operators privilege action over non-action in time-sensitive AI configurations; AI enables "mass production targeting" reducing meaningful human control |